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Books in Life sciences

Elsevier's Life Sciences collection helps researchers get comprehensive coverage and up-to-date information on the study of living organisms, their processes, and interrelationships, spanning disciplines like biology, genetics, and biochemistry, and addressing emerging trends such as genomics, biotechnology, and sustainability, essential for advancing knowledge and driving innovation in the field.

    • Diet and Fighting Bladder Cancer

      • 1st Edition
      • November 28, 2019
      • Maurice P. Zeegers
      • English
      • Paperback
        9 7 8 0 1 2 8 1 4 6 7 7 4
      • eBook
        9 7 8 0 1 2 8 1 4 6 7 8 1
      This book is partly based on research funded by Wereld Kanker Onderzoek Fonds based in the Netherlands and administered by the World Cancer Research Fund International grant program. Every year half a million of people worldwide are diagnosed with bladder cancer. With the recent zeitgeist of the self-empowered, intelligent patient who wishes to be well-informed, many cancer patients do not solely want to rely on decisions taken by medical practitioners, but actively participate in the journey from sickness to health or disease. While no books about the relationship between diet and bladder cancer currently exist, the poor quality of the existing information about the relationship between diet and health is shocking. Much of the information is exaggerated, not evidence-based, misleading and sometimes even incorrect. Dr. Maurice Zeegers, one of the world leading bladder cancer epidemiologists, and his co-authors set the record straight with this book on Diet and Fighting Bladder Cancer. Their aim is to provide purely evidence-based information about the relationship between diet and bladder cancer. The primary audience is bladder cancer patients who wish to be well-informed, although clinicians and healthcare workers may also find the book an interesting read. The book gives an honest reflection on what scientists know, but also what they don’t yet know about how diet contributes to all stages of this important disease. Although science-based, the book is written in an easy-to-read format, illustrated with practical recipes.
    • Genome Chaos

      • 1st Edition
      • May 25, 2019
      • Henry H. Heng
      • English
      • Paperback
        9 7 8 0 1 2 8 1 3 6 3 5 5
      • eBook
        9 7 8 0 1 2 8 1 3 6 3 6 2
      Genome Chaos: Rethinking Genetics, Evolution, and Molecular Medicine transports readers from Mendelian Genetics to 4D-genomics, building a case for genes and genomes as distinct biological entities, and positing that the genome, rather than individual genes, defines system inheritance and represents a clear unit of selection for macro-evolution. In authoring this thought-provoking text, Dr. Heng invigorates fresh discussions in genome theory and helps readers reevaluate their current understanding of human genetics, evolution, and new pathways for advancing molecular and precision medicine.
    • Collective Behavior In Systems Biology

      • 1st Edition
      • September 4, 2019
      • Assaf Steinschneider
      • English
      • Paperback
        9 7 8 0 1 2 8 1 7 1 2 8 8
      • eBook
        9 7 8 0 1 2 8 1 7 3 3 7 4
      Collective Behavior In Systems Biology: A Primer on Modeling Infrastructure offers a survey of established and emerging methods for quantifying process behavior in cellular systems. It introduces and applies mathematics and related abstract methods to processes in biological systems - why they are used, how they work, and what they mean. Emphasizing differential equations in an interdisciplinary approach, this book discusses infrastructure for kinetic modeling, technological system and control theories, optimization, and process behavior in cellular networks. The knowledge that the reader gains will be valuable for entering and keeping up with a rapidly developing discipline.
    • Artificial Intelligence for Computational Modeling of the Heart

      • 1st Edition
      • November 25, 2019
      • Tommaso Mansi + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 7 5 9 4 1
      • eBook
        9 7 8 0 1 2 8 1 6 8 9 5 0
      Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient’s heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.
    • Critical Issues in Alcohol and Drugs of Abuse Testing

      • 2nd Edition
      • January 10, 2019
      • Amitava Dasgupta
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 6 0 7 0
      • eBook
        9 7 8 0 1 2 8 1 5 6 0 8 7
      Critical Issues in Alcohol and Drugs of Abuse Testing, Second Edition, addresses the general principles and technological advances for measuring drugs and alcohol, along with the pitfalls of drugs of abuse testing. Many designer drugs, for example, are not routinely tested in drugs of abuse panels and may go undetected in a drug test. This updated edition is a must-have for clinical pathologists, toxicologists, clinicians, and medical review officers and regulators, bridging the gap between technical and clinical information. Topics of note include the monitoring of pain management drugs, bath salts, spices (synthetic marijuana), designer drugs and date rape drugs, and more.
    • Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

      • 1st Edition
      • July 31, 2019
      • Nilanjan Dey
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 0 0 4 4
      • eBook
        9 7 8 0 1 2 8 1 8 0 0 5 1
      Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images.
    • Biology and Physiology of Freshwater Neotropical Fish

      • 1st Edition
      • November 8, 2019
      • Bernardo Baldisserotto + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 8 7 2 2
      • eBook
        9 7 8 0 1 2 8 1 5 8 7 3 9
      Biology and Physiology of Freshwater Neotropical Fish is the all-inclusive guide to fish species prevalent in the neotropical realm. It provides the most updated systematics, classification, anatomical, behavioral, genetic, and functioning systems information on freshwater neotropical fish species. This book begins by analyzing the differences in phylogeny, anatomy, and behaviour of neotropical fish. Systems such as cardiovascular, respiratory, renal, digestive, reproductive, muscular, and endocrine are described in detail. This book also looks at the effects of stress on fish immune systems, and how color and pigmentation play into physiology and species differentiation. Biology and Physiology of Freshwater Neotropical Fish is a must-have for fish biologists and zoologists. Students in zoology, ichthyology, and fish farming will also find this book useful for its coverage of some of the world’s rarest and least-known fish species.
    • Artificial Neural Networks for Engineering Applications

      • 1st Edition
      • February 7, 2019
      • Alma Y Alanis + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 8 2 4 7 5
      • eBook
        9 7 8 0 1 2 8 1 8 2 4 8 2
      Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.
    • Biotin and Other Interferences in Immunoassays

      • 1st Edition
      • January 15, 2019
      • Amitava Dasgupta
      • English
      • Paperback
        9 7 8 0 1 2 8 1 6 4 2 9 7
      • eBook
        9 7 8 0 1 2 8 1 6 7 4 1 0
      Biotin and Other Interferences in Immunoassays: A Concise Guide is aimed at clinical laboratory scientists, medical technologists and pathologists who are often the first individuals contacted by a clinician when a laboratory test result does not correlate with clinical presentation. Research scientists working in diagnostics companies will also find this information essential. Sources of errors in non-immunoassay based methods used in clinical chemistry and toxicology laboratory are also discussed so readers can get all important information from one concise guide. This succinct, user-friendly reference provides the necessary information to address high levels of biotin in clinical laboratory results.
    • High-Density Integrated Electrocortical Neural Interfaces

      • 1st Edition
      • August 3, 2019
      • Sohmyung Ha + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 5 1 1 5 0
      • eBook
        9 7 8 0 1 2 8 1 5 1 1 6 7
      High-Density Integrated Electrocortical Neural Interfaces provides a basic understanding, design strategies and implementation applications for electrocortical neural interfaces with a focus on integrated circuit design technologies. A wide variety of topics associated with the design and application of electrocortical neural implants are covered in this book. Written by leading experts in the field— Dr. Sohmyung Ha, Dr. Chul Kim, Dr. Patrick P. Mercier and Dr. Gert Cauwenberghs —the book discusses basic principles and practical design strategies of electrocorticography... electrode interfaces, signal acquisition, power delivery, data communication, and stimulation. In addition, an overview and critical review of the state-of-the-art research is included. These methodologies present a path towards the development of minimally invasive brain-computer interfaces capable of resolving microscale neural activity with wide-ranging coverage across the cortical surface.